Power Electronics and Renewable Energy System

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 1771

Special Issue Editor


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Guest Editor
Department of Electrical and Thermal Engineering, Higher Technical School of Engineering, University of Huelva, Avda. Fuerzas Armadas, s/n, 21007 Huelva, Spain
Interests: power system analysis; renewable energy; distributed generation; power quality; power electronics; electric vehicles
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Special Issue Information

Dear Colleagues,

At present, we must construct a sustainable global energy system to stop climate change. In this sense, the electricity and transport sectors play an important role. The transition towards an renewable energies and the progressive implementation of electric vehicles are necessary.

Power electronics refers to the application of electronic devices to control and transform electrical energy. This technology is essential for the operation of renewable energy systems, as well as the charging of electric vehicles.

They are being increasingly used to reduce dependence on fossil fuels and achieve a cleaner, more sustainable future.

The topics to be addressed in the Special Issue include (but are not limited to):

  • Power electronics in renewable energy sources.
  • Power flow control and optimization.
  • Electrical energy efficiency in industry, buildings, transmission and distribution, etc.
  • Modeling, simulation and control of power electronic converters.
  • Analysis of the uncertainty generated by renewable sources and electric vehicles.
  • High/Medium-voltage DC systems.
  • Grid planning with large-scale renewable energy resources.
  • Renewable energy conversion systems: design, modelling, control and integration to modern power systems.
  • Power and energy quality in electric systems with renewable energy resources.
  • Power electronics and control in microgrids.

Dr. Francisco Javier Ruiz-Rodríguez
Guest Editor

Manuscript Submission Information

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Keywords

  • voltage control
  • microgrid and smart grid
  • renewable energy sources
  • electric vehicles
  • photovoltaics
  • wind power
  • optimization
  • power electronics
  • power quality
  • electric systems
  • uncertainty
  • MVDC system
  • energy efficiency

Published Papers (2 papers)

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Research

21 pages, 7100 KiB  
Article
Robust EMPC-Based Frequency-Adaptive Grid Voltage Sensorless Control for an LCL-Filtered Grid-Connected Inverter
by Yubin Kim, Thuy Vi Tran and Kyeong-Hwa Kim
Electronics 2024, 13(5), 998; https://doi.org/10.3390/electronics13050998 - 06 Mar 2024
Viewed by 462
Abstract
A robust explicit model predictive control (EMPC)-based frequency-adaptive grid voltage sensorless control is developed for a grid-connected inverter (GCI) via a linear matrix inequality (LMI) approach under the model parametric uncertainties as well as distorted and imbalanced grid voltages. In order to ensure [...] Read more.
A robust explicit model predictive control (EMPC)-based frequency-adaptive grid voltage sensorless control is developed for a grid-connected inverter (GCI) via a linear matrix inequality (LMI) approach under the model parametric uncertainties as well as distorted and imbalanced grid voltages. In order to ensure the quality of grid currents injected into the utility grid even when the system model parameters vary, the proposed control scheme is accomplished by an enhanced prediction model rather than the conventional prediction model obtained by fixed parameters. Furthermore, an LMI-based observer is integrated with the disturbance observer to improve the reference tracking performance and to reject disturbances. The proposed observer is employed for the grid frequency-adaptive control without the need for grid voltage sensors. The proposed current controller and observer employ the LMI scheme to maintain a stable and robust operation of the GCI. The discrete-time frequency response and pole-zero map analyses are utilized to examine the system performance including the stability and robustness against parametric uncertainties. Comprehensive simulation and experimental tests as well as theoretical analyses clearly validate the robustness of the proposed control scheme under various harsh test conditions with non-ideal and unexpected grid and system parametric uncertainties. Full article
(This article belongs to the Special Issue Power Electronics and Renewable Energy System)
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22 pages, 4278 KiB  
Article
Vulnerability Analysis of Power Transmission Grids Subject to Cascading Failures
by Francesco Cadini, Luca Lomazzi and Enrico Zio
Electronics 2024, 13(5), 943; https://doi.org/10.3390/electronics13050943 - 29 Feb 2024
Viewed by 526
Abstract
Cascading failures are a major threat to interconnected systems, such as electrical power transmission networks. Typically, approaches proposed for devising optimized control strategies are demonstrated with reference to a few test systems of reference (IEEE systems). However, this limits the robustness of the [...] Read more.
Cascading failures are a major threat to interconnected systems, such as electrical power transmission networks. Typically, approaches proposed for devising optimized control strategies are demonstrated with reference to a few test systems of reference (IEEE systems). However, this limits the robustness of the proposed strategies with respect to different power grid structures. Recently, this issue has been addressed by considering synthetic networks randomly generated for mimicking power transmission grids’ characteristics. These networks can be used for investigating the vulnerability of power networks to cascading failures. In this work, we propose to apply a recent algorithm for sampling random power grid topologies with realistic electrical parameters and further extend it to the random allocation of generation and load. Integration with a realistic cascade simulation tool, then, allows us to perform thorough statistical analyses of power grids with respect to their cascading failure behavior, thus offering a powerful tool for identifying the strengths and weaknesses of different grid classes. New metrics for ranking the control and mitigation effort requirements of individual cascade scenarios and/or of grid configurations are defined and computed. Finally, genetic algorithms are used to identify strategies to improve the robustness of existing power networks. Full article
(This article belongs to the Special Issue Power Electronics and Renewable Energy System)
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